Synaptic plasticity in self-powered artificial striate cortex for binocular orientation selectivity

Yanyun Ren, Xiaobo Bu, Ming Wang, Yue Gong, Junjie Wang, Yuyang Yang, Guijun Li, Meng Zhang, Ye Zhou and Su-Ting Han ()
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Yanyun Ren: Shenzhen University
Xiaobo Bu: Shenzhen University
Ming Wang: Shenzhen University
Yue Gong: Shenzhen University
Junjie Wang: Shenzhen University
Yuyang Yang: Shenzhen University
Guijun Li: Shenzhen University
Meng Zhang: Shenzhen University
Ye Zhou: Shenzhen University
Su-Ting Han: Shenzhen University

Nature Communications, 2022, vol. 13, issue 1, 1-11

Abstract: Abstract Get in-depth understanding of each part of visual pathway yields insights to conquer the challenges that classic computer vision is facing. Here, we first report the bioinspired striate cortex with binocular and orientation selective receptive field based on the crossbar array of self-powered memristors which is solution-processed monolithic all-perovskite system with each cross-point containing one CsFAPbI3 solar cell directly stacking on the CsPbBr2I memristor. The plasticity of self-powered memristor can be modulated by optical stimuli following triplet-STDP rules. Furthermore, plasticity of 3 × 3 flexible crossbar array of self-powered memristors has been successfully modulated based on generalized BCM learning rule for optical-encoded pattern recognition. Finally, we implemented artificial striate cortex with binocularity and orientation selectivity based on two simulated 9 × 9 self-powered memristors networks. The emulation of striate cortex with binocular and orientation selectivity will facilitate the brisk edge and corner detection for machine vision in the future applications.

Date: 2022
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DOI: 10.1038/s41467-022-33393-8

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